Machine Learning Applications

Overview

Limited-Time Offer: Up to 75% Off Coursera Plus!

7000+ certificate courses from Google, Microsoft, IBM, and many more.

This course on Machine Learning Applications aims to provide a solid understanding of foundational concepts required to work with applications like text mining. The course covers topics such as text mining techniques, challenges, text transformations, working with raw text, Count Vectorizer, TF/IDF in Text Mining, and model building using Logic Regression. The teaching method includes lectures and practical examples. This course is intended for individuals interested in expanding their knowledge of Machine Learning applications, specifically in the area of text mining.

Syllabus

Introduction.
Agenda.
Introduction to Text Mining.
Applications of Text Mining.
Various Text Mining techniques.
Challenges of Text Mining.
Understanding text transformations.
Working with raw text.
Using Count Vectorizer.
Understanding TF/IDF in Text Mining.
Model building using Logic Regression.
Summary.